joylmy/BostonHousingPricePrediction

Overview

BostonHousingPricePrediction is a web app that hosted on Azure App Service to predict the housing price at Boston.

Project Plan

• A link to a Trello board for the project

• A link to a spreadsheet that includes the original and final project plan

Instructions

• Architectural Diagram

• Instructions

• Project running on Azure App Service

• Project cloned into Azure Cloud Shell

• Passing tests that are displayed after running the make all command from the Makefile

• Output of a test run

• Successful deploy of the project in Azure Pipelines. Note the official documentation should be referred to and double checked as you setup CI/CD.

• Running Azure App Service from Azure Pipelines automatic deployment

• Successful prediction from deployed flask app in Azure Cloud Shell. Use this file as a template for the deployed prediction. The output should look similar to this:

• Output of streamed log files from a deployed application

• Load Test with Locust

Enhancements

Plan : May add a friendly user interface to it.

Demo

https://youtu.be/57mUqMczNWY

Step 1: 0:20 Working Azure Cloud Shell environment for Continuous Integration.
Step 2: 1:31 Successful machine learning prediction that returns back a JSON payload.
Step 3: 2:46 Working GitHub Actions build
Step 4: 4:27 Successful deployment using Continuous Delivery on the Azure platform.